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The squared slacks transformation in nonlinear programming

Paul Armand and Dominique Orban

Article (2012)

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Abstract

In this short paper, we recall the use of squared slacks used to transform inequality constraints into equalities and several reasons why their introduction may be harmful in many algorithmic frameworks routinely used in nonlinear programming. Numerical examples performed with the sequential quadratic programming method illustrate those reasons. Our results are reproducible with state-of-the-art implementations of the methods concerned and mostly serve a pedagogical purpose, which we believe will be useful not only to practitioners and students, but also to researchers.

Uncontrolled Keywords

Squared slacks transformation, Nonlinear programming.

Subjects: 2700 Information technology > 2714 Mathematics of computing
Department: Department of Mathematics and Industrial Engineering
Research Center: GERAD - Research Group in Decision Analysis
PolyPublie URL: https://publications.polymtl.ca/4755/
Journal Title: SQU Journal for Science (vol. 17, no. 1)
Publisher: Sultan Qaboos University
DOI: 10.24200/squjs.vol17iss1pp22-29
Official URL: https://doi.org/10.24200/squjs.vol17iss1pp22-29
Date Deposited: 11 Mar 2021 12:18
Last Modified: 27 Sep 2024 01:29
Cite in APA 7: Armand, P., & Orban, D. (2012). The squared slacks transformation in nonlinear programming. SQU Journal for Science, 17(1), 22-29. https://doi.org/10.24200/squjs.vol17iss1pp22-29

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